Commit Graph

33 Commits

Author SHA1 Message Date
Alexander Alekhin
58dc397930 dnn(test): add two_inputs test with FP32/U8 data types
- remove similar test from IE scope under HAVE_INF_ENGINE
2021-11-28 07:44:04 +00:00
Alexander Alekhin
a00fe15abd dnn: check for empty Net in .forward() 2020-10-05 06:23:47 +00:00
Dmitry Kurtaev
cf8f65d806 Do not use size_t for nGraph layers 2020-08-02 20:50:44 +03:00
Dmitry Kurtaev
908bf935f7 Flexible inputs for OpenVINO IR models 2020-04-18 20:00:22 +03:00
Alexander Alekhin
124bf8339f dnn(IE): use HAVE_DNN_IE_NN_BUILDER_2019 for NN Builder API code
- CMake option: OPENCV_DNN_IE_NN_BUILDER_2019
2020-03-03 08:07:54 +00:00
Alexander Alekhin
f48c84eaee Merge pull request #16656 from alalek:issue_16655 2020-02-26 12:47:46 +00:00
Alexander Alekhin
d54d01ca46 core(MatExpr): fix .type() bug 2020-02-23 17:05:05 +00:00
Alexander Alekhin
01048e5603
Merge pull request #16616 from alalek:dnn_fix_input_shape
* dnn: fix processing of input shapes

- importer: avoid using of .setInput() => .setInputShape()
- setInput: shape limitation check (partial)

* dnn(test): test .setInput() in readNet()
2020-02-21 22:39:54 +03:00
Alexander Alekhin
8ecfb59930 dnn(test): skip failed ngraph tests 2020-02-07 22:43:40 +00:00
antalzsiroscandid
aa80f754f4 dnn: reading IR models from buffer 2019-12-18 15:31:08 +01:00
Lubov Batanina
7523c777c5 Merge pull request #15537 from l-bat:ngraph
* Support nGraph

* Fix resize
2019-12-02 16:16:06 +03:00
Dimitri Gerin
7c4158d8c2 Fix dnn::getLayerInputs 2019-11-07 08:13:33 +03:00
Alexander Alekhin
440a937d24 dnn: increase async test timeout 2019-10-01 13:31:57 +03:00
Lubov Batanina
0e1ef8f8e1 Merge pull request #15184 from l-bat:IE_R2
Support new IE API (#15184)

* Add support OpenVINO R2 for layers

* Add Core API

* Fix tests

* Fix expectNoFallbacksFromIE for ONNX nets

* Remove deprecated API

* Remove td

* Remove TargetDevice

* Fix Async

* Add test

* Fix detectMyriadX

* Fix test

* Fix warning
2019-08-06 22:20:26 +03:00
Lubov Batanina
12fdaf895e Merge pull request #15057 from l-bat:fix_vizualizer
* Fix dumpToFile

* Add test

* Fix test
2019-07-18 18:41:08 +03:00
Alexander Alekhin
894f208de3 dnn(test): replace SkipTestException with tags 2019-06-23 13:12:23 +00:00
Alexander Alekhin
13a782c039 test: fix usage of findDataFile()
misused 'optional' mode
2019-06-20 18:20:14 +03:00
Alexander Alekhin
132253c9f3 dnn: use AsyncArray 2019-05-18 19:32:23 +00:00
Dmitry Kurtaev
adc1ef9308 Fix uint8 input data for Async mode of dnn 2019-05-05 12:49:38 +03:00
Dmitry Kurtaev
a5c92c2029 Merge pull request #13694 from dkurt:dnn_ie_async
Asynchronous API from Intel's Inference Engine (#13694)

* Add forwardAsync for asynchronous mode from Intel's Inference Engine

* Python test for forwardAsync

* Replace Future_Mat to AsyncMat

* Shadow AsyncMat

* Isolate InferRequest callback

* Manage exceptions in Async API of IE
2019-04-19 21:01:19 +03:00
Dmitry Kurtaev
3c3c5ef2b6 Fix a dnn bug with retrieving all the output blobs 2019-01-28 18:48:56 +03:00
Maksim Shabunin
fe459c82e5 Merge pull request #13332 from mshabunin:dnn-backends
DNN backends registry (#13332)

* Added dnn backends registry

* dnn: process DLIE/FPGA target
2018-12-05 18:11:45 +03:00
Dmitry Kurtaev
0d117312c9 DNN_TARGET_FPGA using Intel's Inference Engine 2018-11-19 11:41:43 +03:00
Alexander Alekhin
96c71dd3d2 dnn: reduce set of ignored warnings 2018-11-15 13:15:59 +03:00
Dmitry Kurtaev
d486204a0d Merge pull request #12264 from dkurt:dnn_remove_forward_method
* Remove a forward method in dnn::Layer

* Add a test

* Fix tests

* Mark multiple dnn::Layer::finalize methods as deprecated

* Replace back dnn's inputBlobs to vector of pointers

* Remove Layer::forward_fallback from CV_OCL_RUN scopes
2018-09-06 13:26:47 +03:00
Dmitry Kurtaev
070393dfda uint8 inputs for deep learning networks 2018-07-19 14:37:33 +03:00
Dmitry Kurtaev
b781ac7346 Make Intel's Inference Engine backend is default if no preferable backend is specified. 2018-06-04 18:31:46 +03:00
Dmitry Kurtaev
4ec456f0a0 Custom layers for deep learning networks (#11129)
* Custom deep learning layers support

* Stack custom deep learning layers
2018-04-24 14:59:59 +03:00
Dmitry Kurtaev
f2440ceae6 Update tutorials. A new cv::dnn::readNet function 2018-03-04 20:30:22 +03:00
Rémi Ratajczak
b67523550f dnn : Added an imagesFromBlob method to the dnn module (#10607)
* Added the imagesFromBlob method to the dnn module.

* Rewritten imagesFromBlob based on first dkurt comments

* Updated code with getPlane()

* Modify comment of imagesFromBlob() in dnn module

* modified comments, removed useless assertions & added OutputArrayOfArray

* replaced tabs with whitespaces & put vectorOfChannels instantiation outside the loop

* Changed pre-commit.sample to pre-commit in .git/hooks/

* Added a test for imagesFromBlob in test_misc.cpp (dnn)

* Changed nbOfImages, robustified test with cv::randu, modified assertion
2018-02-12 14:51:07 +03:00
Alexander Alekhin
4a297a2443 ts: refactor OpenCV tests
- removed tr1 usage (dropped in C++17)
- moved includes of vector/map/iostream/limits into ts.hpp
- require opencv_test + anonymous namespace (added compile check)
- fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions
- added missing license headers
2018-02-03 19:39:47 +00:00
Dmitry Kurtaev
6a395d88ff dnn::blobFromImage with OutputArray 2018-01-13 18:20:24 +03:00
Vladislav Sovrasov
5bf39ceb5d dnn: handle 4-channel images in blobFromImage (#9944) 2017-10-27 14:06:53 +03:00